# encoding = utf-8
import numpy as np
import cv2
import sys
import os
sys.path.append(os.getcwd())
from config.env import Env
env = Env()
 
img = cv2.imread(env.getImgPath() + "meinv1.jpg")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face_cascade = cv2.CascadeClassifier(env.getModelPath() + "haarcascade_frontalface_default.xml")
# eye_cascade = cv2.CascadeClassifier(env.getModelPath() + "haarcascade_eye_tree_eyeglasses.xml")          
# faces = face_cascade.detectMultiScale(gray, scaleFactor = 1.1, minNeighbors = 5, minSize = (50,50))
 
# if len(faces)>0:
#     for faceRect in faces:
#         x,y,w,h = faceRect
#         cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2,8,0)
 
#         roi_gray = gray[y:y+h,x:x+w]
#         roi_color = img[y:y+h,x:x+w]
 
#         eyes = eye_cascade.detectMultiScale(roi_gray,1.1,1,cv2.CASCADE_SCALE_IMAGE,(2,2))
#         for (ex,ey,ew,eh) in eyes:
#             cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
            
cv2.imshow("img",img)
cv2.waitKey(0)

cv2.destroyAllWindows()